Interval-based Solutions for Reliable and Safe Navigation of Intelligent Autonomous Vehicles
| Autor: | Jaleleddine Ben Hadj Slama, Lounis Adouane, Othman Nasri, Nadhir Mansour Ben Lakhal |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Uncertainty handling business.industry Computer science Probabilistic logic Automotive industry 02 engineering and technology Reliability engineering 020901 industrial engineering & automation Robustness (computer science) Principal component analysis 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business Cruise control Risk management |
| Zdroj: | RoMoCo |
| DOI: | 10.1109/romoco.2019.8787343 |
| Popis: | The transportation systems reliability is addressed in this work. A comprehensive comparison between the probabilistic and the interval-based uncertainty handling approaches for autonomous navigation has been detailed. Based on this comparative study, a set-membership safety verification technique that monitors the correlation between variables has been proposed to achieve an optimal uncertainty assessment. Further, a Principle Component Analysis (PCA) diagnosis process has been extended to handle interval-data. Finally, a strong link between the proposed automotive diagnosis and risk management has been constructed to ensure a high robustness to uncertainty. The proposed interval-based solutions have been integrated on an Adaptive Cruise Control (ACC) system. Simulation results prove the proposed diagnosis and risk management efficiency in handling uncertainties and faults. |
| Databáze: | OpenAIRE |
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